Comparison among random forest, logistic regression, and existing clinical risk scores for predicting outcomes in patients with atrial fibrillation: A report from the <scp>J‐RHYTHM</scp> registry — Eiichi Watanabe (2021) | RDL Network
Comparison among random forest, logistic regression, and existing clinical risk scores for predicting outcomes in patients with atrial fibrillation: A report from the <scp>J‐RHYTHM</scp> registry
Article 2021 en
Authors
EW
Eiichi Watanabe
SN
Shunsuke Noyama
KK
Ken Kiyono
Abstract
1 min read
The RF model performed as well as or better than the LR model or existing clinical risk scores for predicting clinical outcomes of AF.
Daniele Pastori, José Miguel Rivera‐Caravaca, María Asunción Esteve‐Pastor, Vanessa Roldán, Francisco Marı́n, Pasquale Pignatelli, Francesco Violi, Professor Gregory Lip
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